{"product_id":"algorithms-in-computational-molecular-biology-isbn-9780470505199","title":"Algorithms in Computational Molecular Biology","description":"This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, \u003ci\u003eAlgorithms in Computational Molecular Biology\u003c\/i\u003e studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles have failed, in offering a wide range of information from the introductory fundamentals right up to the latest, most advanced levels of study. \u003cp\u003ePREFACE xxxi\u003c\/p\u003e \u003cp\u003eCONTRIBUTORS xxxiii\u003c\/p\u003e \u003cp\u003eI STRINGS PROCESSING AND APPLICATION TO BIOLOGICAL SEQUENCES 1\u003c\/p\u003e \u003cp\u003e1 STRING DATA STRUCTURES FOR COMPUTATIONAL MOLECULAR BIOLOGY 3\u003cbr\u003e\u003ci\u003eChristos Makris and Evangelos Theodoridis\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2 EFFICIENT RESTRICTED-CASE ALGORITHMS FOR PROBLEMS IN COMPUTATIONAL BIOLOGY 27\u003cbr\u003e\u003ci\u003ePatricia A. Evans and H. Todd Wareham\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3 FINITE AUTOMATA IN PATTERN MATCHING 51\u003cbr\u003e\u003ci\u003eJan Holub\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4 NEW DEVELOPMENTS IN PROCESSING OF DEGENERATE SEQUENCES 73\u003cbr\u003e\u003ci\u003ePavlos Antoniou and Costas S. Iliopoulos\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5 EXACT SEARCH ALGORITHMS FOR BIOLOGICAL SEQUENCES 91\u003cbr\u003e\u003ci\u003eEric Rivals, Leena Salmela, and Jorma Tarhio\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6 ALGORITHMIC ASPECTS OF ARC-ANNOTATED SEQUENCES 113\u003cbr\u003e\u003ci\u003eGuillaume Blin, Maxime Crochemore, and Stéphane Vialette\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7 ALGORITHMIC ISSUES IN DNA BARCODING PROBLEMS 129\u003cbr\u003e\u003ci\u003eBhaskar DasGupta, Ming-Yang Kao, and Ion Mandoiu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8 RECENT ADVANCES IN WEIGHTED DNA SEQUENCES 143\u003cbr\u003e\u003ci\u003eManolis Christodoulakis and Costas S. Iliopoulos\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9 DNA COMPUTING FOR SUBGRAPH ISOMORPHISM PROBLEM AND RELATED PROBLEMS 171\u003cbr\u003e\u003ci\u003eSun-Yuan Hsieh, Chao-Wen Huang, and Hsin-Hung Chou\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eII ANALYSIS OF BIOLOGICAL SEQUENCES 191\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10 GRAPHS IN BIOINFORMATICS 193\u003cbr\u003e\u003ci\u003eElsa Chacko and Shoba Ranganathan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11 A FLEXIBLE DATA STORE FOR MANAGING BIOINFORMATICS DATA 221\u003cbr\u003e\u003ci\u003eBassam A. Alqaralleh, Chen Wang, Bing Bing Zhou, and Albert Y. Zomaya\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12 ALGORITHMS FOR THE ALIGNMENT OF BIOLOGICAL SEQUENCES 241\u003cbr\u003e\u003ci\u003eAhmed Mokaddem and Mourad Elloumi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13 ALGORITHMS FOR LOCAL STRUCTURAL ALIGNMENT AND STRUCTURAL MOTIF IDENTIFICATION 261\u003cbr\u003e\u003ci\u003eSanguthevar Rajasekaran, Vamsi Kundeti, and Martin Schiller\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14 EVOLUTION OF THE CLUSTAL FAMILY OF MULTIPLE SEQUENCE ALIGNMENT PROGRAMS 277\u003cbr\u003e\u003ci\u003eMohamed Radhouene Aniba and Julie Thompson\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15 FILTERS AND SEEDS APPROACHES FOR FAST HOMOLOGY SEARCHES IN LARGE DATASETS 299\u003cbr\u003e\u003ci\u003eNadia Pisanti, Mathieu Giraud, and Pierre Peterlongo\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16 NOVEL COMBINATORIAL AND INFORMATION-THEORETIC ALIGNMENT-FREE DISTANCES FOR BIOLOGICAL DATA MINING 321\u003cbr\u003e\u003ci\u003eChiara Epifanio, Alessandra Gabriele, Raffaele Giancarlo, and Marinella Sciortino\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17 IN SILICO METHODS FOR THE ANALYSIS OF METABOLITES AND DRUG MOLECULES 361\u003cbr\u003e\u003ci\u003eVarun Khanna and Shoba Ranganathan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIII MOTIF FINDING AND STRUCTURE PREDICTION 383\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e18 MOTIF FINDING ALGORITHMS IN BIOLOGICAL SEQUENCES 385\u003cbr\u003e\u003ci\u003eTarek El Falah, Mourad Elloumi, and Thierry Lecroq\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e19 COMPUTATIONAL CHARACTERIZATION OF REGULATORY REGIONS 397\u003cbr\u003e\u003ci\u003eEnrique Blanco\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e20 ALGORITHMIC ISSUES IN THE ANALYSIS OF CHIP-SEQ DATA 425\u003cbr\u003e\u003ci\u003eFederico Zambelli and Giulio Pavesi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e21 APPROACHES AND METHODS FOR OPERON PREDICTION BASED ON MACHINE LEARNING TECHNIQUES 449\u003cbr\u003e\u003ci\u003eYan Wang, You Zhou, Chunguang Zhou, Shuqin Wang, Wei Du, Chen Zhang, and Yanchun Liang\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e22 PROTEIN FUNCTION PREDICTION WITH DATA-MINING TECHNIQUES 479\u003cbr\u003e\u003ci\u003eXing-Ming Zhao and Luonan Chen\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e23 PROTEIN DOMAIN BOUNDARY PREDICTION 501\u003cbr\u003e\u003ci\u003ePaul D. Yoo, Bing Bing Zhou, and Albert Y. Zomaya\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e24 AN INTRODUCTION TO RNA STRUCTURE AND PSEUDOKNOT PREDICTION 521\u003cbr\u003e\u003ci\u003eJana Sperschneider and Amitava Datta\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIV PHYLOGENY RECONSTRUCTION 547\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e25 PHYLOGENETIC SEARCH ALGORITHMS FOR MAXIMUM LIKELIHOOD 549\u003cbr\u003e\u003ci\u003eAlexandros Stamatakis\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e26 HEURISTIC METHODS FOR PHYLOGENETIC RECONSTRUCTION WITH MAXIMUM PARSIMONY 579\u003cbr\u003e\u003ci\u003eAdrien Goëffon, Jean-Michel Richer, and Jin-Kao Hao\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e27 MAXIMUM ENTROPY METHOD FOR COMPOSITION VECTOR METHOD 599\u003cbr\u003e\u003ci\u003eRaymond H.-F. Chan, Roger W. Wang, and Jeff C.-F. Wong\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eV MICROARRAY DATA ANALYSIS 623\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e28 MICROARRAY GENE EXPRESSION DATA ANALYSIS 625\u003cbr\u003e\u003ci\u003eAlan Wee-Chung Liew and Xiangchao Gan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e29 BICLUSTERING OF MICROARRAY DATA 651\u003cbr\u003e\u003ci\u003eWassim Ayadi and Mourad Elloumi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e30 COMPUTATIONAL MODELS FOR CONDITION-SPECIFIC GENE AND PATHWAY INFERENCE 665\u003cbr\u003e\u003ci\u003eYu-Qing Qiu, Shihua Zhang, Xiang-Sun Zhang, and Luonan Chen\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e31 HETEROGENEITY OF DIFFERENTIAL EXPRESSION IN CANCER STUDIES: ALGORITHMS AND METHODS 691\u003cbr\u003e\u003ci\u003eRadha Krishna Murthy Karuturi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eVI ANALYSIS OF GENOMES 723\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e32 COMPARATIVE GENOMICS: ALGORITHMS AND APPLICATIONS 725\u003cbr\u003e\u003ci\u003eXiao Yang and Srinivas Aluru\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e33 ADVANCES IN GENOME REARRANGEMENT ALGORITHMS 749\u003cbr\u003e\u003ci\u003eMasud Hasan and M. Sohel Rahman\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e34 COMPUTING GENOMIC DISTANCES: AN ALGORITHMIC VIEWPOINT 773\u003cbr\u003e\u003ci\u003eGuillaume Fertin and Irena Rusu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e35 WAVELET ALGORITHMS FOR DNA ANALYSIS 799\u003cbr\u003e\u003ci\u003eCarlo Cattani\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e36 HAPLOTYPE INFERENCE MODELS AND ALGORITHMS 843\u003cbr\u003e\u003ci\u003eLing-Yun Wu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eVII ANALYSIS OF BIOLOGICAL NETWORKS 865\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e37 UNTANGLING BIOLOGICAL NETWORKS USING BIOINFORMATICS 867\u003cbr\u003e\u003ci\u003eGaurav Kumar, Adrian P. Cootes, and Shoba Ranganathan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e38 PROBABILISTIC APPROACHES FOR INVESTIGATING BIOLOGICAL NETWORKS 893\u003cbr\u003e\u003ci\u003eJérémie Bourdon and Damien Eveillard\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e39 MODELING AND ANALYSIS OF BIOLOGICAL NETWORKS WITH MODEL CHECKING 915\u003cbr\u003e\u003ci\u003eDragan Bosnacki, Peter A.J. Hilbers, Ronny S. Mans, and Erik P. de Vink\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e40 REVERSE ENGINEERING OF MOLECULAR NETWORKS FROM A COMMON COMBINATORIAL APPROACH 941\u003cbr\u003e\u003ci\u003eBhaskar DasGupta, Paola Vera-Licona, and Eduardo Sontag\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e41 UNSUPERVISED LEARNING FOR GENE REGULATION NETWORK INFERENCE FROM EXPRESSION DATA: A REVIEW 955\u003cbr\u003e\u003ci\u003eMohamed Elati and Céline Rouveirol\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e42 APPROACHES TO CONSTRUCTION AND ANALYSIS OF MICRORNA-MEDIATED NETWORKS 979\u003cbr\u003e\u003ci\u003eIlana Lichtenstein, Albert Zomaya, Jennifer Gamble, and Mathew Vadas\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eINDEX 1007\u003c\/p\u003e \u003cp\u003e\u003cb\u003eMourad Elloumi\u003c\/b\u003e, PhD, is Associate Professor in Computer Science, Faculty of Economic Sciences and Management of Tunis (Tunisia), and member of the Unit of Technologies of Information and Communication (UTIC). He is the author\/coauthor of more than forty publications in international journals and conferences. Professor Elloumi was the guest editor of a special issue on biological knowledge discovery and data mining in Knowledge-Based Systems and the coeditor of the proceedings of two international conferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAlbert Y. Zomaya\u003c\/b\u003e, PhD, is the Chair Professor of High Performance Computing and Networking in the School of Information Technologies at The University of Sydney (Australia). He is the author\/coauthor of eight books and more than 400 publications in technical journals and conferences, and the editor of eight books and eight conference volumes. Professor Zomaya is currently an associate editor for twenty journals, the Founding Editor of the Wiley Series on Parallel and Distributed Computing, and a Founding Coeditor of the Wiley Series in Bioinformatics.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eThe most comprehensive, practical overview of algorithms in computational molecular biology\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eComputational molecular biology has emerged from the Human Genome Project as an important discipline for academic research and industrial application. Due to the exponential growth?in the size of biological databases and the increasing intricacy of biological problems, high-performance algorithms are now necessary to deal with errors in biological sequences.?Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology is the first in-depth examination of these important algorithms, which are based on the newest and most improved approaches and techniques in the field.\u003c\/p\u003e \u003cp\u003eThe book's unique coverage offers both a wide range of information—from theintroductory fundamentals right up to the latest, most advanced levels of study—and enough technical depth to be of practical use to working professionals. Organized into seven parts, it addresses:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eStrings processing and application to biological sequences\u003c\/li\u003e \u003cli\u003eAnalysis of biological sequences\u003c\/li\u003e \u003cli\u003eMotif finding and structure prediction\u003c\/li\u003e \u003cli\u003ePhylogeny reconstruction\u003c\/li\u003e \u003cli\u003eMicroarray data analysis\u003c\/li\u003e \u003cli\u003eAnalysis of genomes\u003c\/li\u003e \u003cli\u003eAnalysis of biological networks\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eAlso featured are a combination of experiments and simulations that provide not only qualitative but also quantitative insights into this rich field. By covering a wide range of combinatorial problems that arise in computational molecular biology, this book enables researchers, computer scientists, life scientists, mathematicians, graduate students, and senior undergraduates to deal with more complex issues and richer data sets.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47988713586917,"sku":"NP9780470505199","price":203.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470505199.jpg?v=1761781298","url":"https:\/\/k12savings.com\/products\/algorithms-in-computational-molecular-biology-isbn-9780470505199","provider":"K12savings","version":"1.0","type":"link"}